Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures

A growing trend in developing large and complex applications on today's Teraflop scale computers is to integrate stand-alone and/or semi-independent program components into a comprehensive simulation package. One example is the Community Climate System Model which consists of atmosphere, ocean,...

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Bibliographic Details
Main Authors: He, Yun, Ding, Chris
Format: Article in Journal/Newspaper
Language:English
Published: eScholarship, University of California 2005
Subjects:
Earth Sciences
multi-component multi-executable component integration distributed memory architecture climate modeling CCSM PCM.
Sea ice
Online Access:http://www.escholarship.org/uc/item/2j9926mq
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spelling ftcdlib:qt2j9926mq 2023-05-15T18:18:11+02:00 Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures He, Yun Ding, Chris 2005-03-24 application/pdf http://www.escholarship.org/uc/item/2j9926mq english eng eScholarship, University of California qt2j9926mq http://www.escholarship.org/uc/item/2j9926mq public He, Yun; & Ding, Chris. (2005). Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures. Lawrence Berkeley National Laboratory. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/2j9926mq Earth Sciences multi-component multi-executable component integration distributed memory architecture climate modeling CCSM PCM. article 2005 ftcdlib 2016-04-02T18:32:38Z A growing trend in developing large and complex applications on today's Teraflop scale computers is to integrate stand-alone and/or semi-independent program components into a comprehensive simulation package. One example is the Community Climate System Model which consists of atmosphere, ocean, land-surface and sea-ice components. Each component is semi-independent and has been developed at a different institution. We study how this multi-component, multi-executable application can run effectively on distributed memory architectures. For the first time, we clearly identify five effective execution modes and develop the MPH library to support application development utilizing these modes. MPH performs component-name registration, resource allocation and initial component handshaking in a flexible way. Article in Journal/Newspaper Sea ice University of California: eScholarship
institution Open Polar
collection University of California: eScholarship
op_collection_id ftcdlib
language English
topic Earth Sciences
multi-component multi-executable component integration distributed memory architecture climate modeling CCSM PCM.
spellingShingle Earth Sciences
multi-component multi-executable component integration distributed memory architecture climate modeling CCSM PCM.
He, Yun
Ding, Chris
Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures
topic_facet Earth Sciences
multi-component multi-executable component integration distributed memory architecture climate modeling CCSM PCM.
description A growing trend in developing large and complex applications on today's Teraflop scale computers is to integrate stand-alone and/or semi-independent program components into a comprehensive simulation package. One example is the Community Climate System Model which consists of atmosphere, ocean, land-surface and sea-ice components. Each component is semi-independent and has been developed at a different institution. We study how this multi-component, multi-executable application can run effectively on distributed memory architectures. For the first time, we clearly identify five effective execution modes and develop the MPH library to support application development utilizing these modes. MPH performs component-name registration, resource allocation and initial component handshaking in a flexible way.
format Article in Journal/Newspaper
author He, Yun
Ding, Chris
author_facet He, Yun
Ding, Chris
author_sort He, Yun
title Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures
title_short Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures
title_full Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures
title_fullStr Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures
title_full_unstemmed Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures
title_sort coupling multi-component models with mph on distributed memory computer architectures
publisher eScholarship, University of California
publishDate 2005
url http://www.escholarship.org/uc/item/2j9926mq
genre Sea ice
genre_facet Sea ice
op_source He, Yun; & Ding, Chris. (2005). Coupling Multi-Component Models with MPH on Distributed Memory Computer Architectures. Lawrence Berkeley National Laboratory. Lawrence Berkeley National Laboratory: Lawrence Berkeley National Laboratory. Retrieved from: http://www.escholarship.org/uc/item/2j9926mq
op_relation qt2j9926mq
http://www.escholarship.org/uc/item/2j9926mq
op_rights public
_version_ 1766194644775862272

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